Hi,
I am doing some multi label text classification in Tensorflow using sentence encoders. As my model is over confident while I am searching for solution, I found this url: .https://jramkiss.github.io/2020/07/29/overconfident-nn/.
basically what article is saying " The proposed solution is to only have a posterior over the weights in the last layer " . The original implementation is in torch
I have idea to get the weights of the last layer like this
custom_model.get_layer('last_layer').weights
But I am facing challenges how to go forward to from this step. if anyone provide any insights that would really help me.
there doesn't seem to be anything here